{"id":"W6943612630","doi":"10.15468/dl.dffgjc","title":"Occurrence Download","year":2025,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Matching (statistics); Range (aeronautics); Set (abstract data type); Identification (biology); Download","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008409034,0.002016618,0.001461233,0.004506504,0.0009891688,0.002325385,0.002787999,0.001829608,0.1394845],"category_scores_gemma":[0.005608904,0.0008571824,0.001202369,0.009277313,0.000438646,0.002189053,0.002483081,0.001820388,0.1927725],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001565259,"about_ca_system_score_gemma":0.002306743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02505657,"about_ca_topic_score_gemma":0.04310394,"domain_scores_codex":[0.9990743,0.000122503,0.0001186785,0.000330002,0.0002058854,0.0001486431],"domain_scores_gemma":[0.9979618,0.0005616728,0.0001939611,0.0005300955,0.0005322301,0.0002203147],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003139193,0.00001124955,0.0004000003,0.0005444339,0.00001477479,0.00001588572,0.00002704428,0.0001359096,0.0001250765,0.0004192098,0.9966286,0.001646387],"study_design_scores_gemma":[0.00006685428,0.000008679399,0.001780962,0.0001759119,0.00001388656,0.00004099915,0.0000743472,0.0001709463,0.0001915644,0.000813162,0.9966449,0.00001777154],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00005153948,0.00003078446,0.00005369986,0.00003600703,0.00001202453,0.000005514468,0.9985857,0.0005078425,0.0007169186],"genre_scores_gemma":[0.0001662452,0.00003411158,0.0002386452,0.00004219319,0.000003026735,0.00003866525,0.9988533,0.0001622163,0.0004615852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.8605155,"threshold_uncertainty_score":0.4666222,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01437393559742932,"score_gpt":0.2320798631925623,"score_spread":0.217705927595133,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}